-
Demystifying Model Interpretation using ELI5
ELI5 is a python package that is used to inspect ML classifiers and explain their predictions. It is popularly used to debug algorithms.
Priyanka 22 Oct, 2024
-
Log Loss vs. Mean Squared Error: Choosing the Right Metric for Classification
Learn the mathematics behind log loss, the logistic regression cost function and classification metric based on probabilities on our article Read Now
Megha 01 May, 2025
-
Writing a CSV File with Scala and Using it to Create a Machine Learning Model
In this project, we will see how to write a CSV file using Scala, which we will then use to create a basic fruit detection ML model.
Saanya 24 Nov, 2020
-
Handling Imbalanced Data – Machine Learning, Computer Vision and NLP
This article discusses methods to handle imbalanced data. Learn how to handle imbalance data in machine learning, computer vision, and NLP.
Nandhini 04 Apr, 2023
-
Hyperparameter Tuning using Optuna
Optuna is a software framework for automating the optimization process of hyperparameter tuning. Lets understand how to use it.
Sreenath 07 Nov, 2020
-
Artificial Intelligence in Agriculture: Using Modern Day AI to Solve Traditional Farming Problems
Learn how Artificial Intelligence (AI) is used in agriculture to revolutionize traditional farming practices and increase crop productivity.
pravar 11 Dec, 2024
-
Build Your Own Desktop Voice Assistant in Python
Voice assistant has gained a lot of popularity in this era of smart homes and devices. Learn how to build a desktop voice assistant in Python
[email protected] 08 Dec, 2020
-
Employee Attrition Analysis using Logistic Regression with R
Employee attrition became a serious issue regarding a company's competitive advantage. It's very expensive to find, hire and train new talents
TIASA 01 Nov, 2020
-
How to Use Stacking to Choose the Best Possible Algorithm?
This article will help finding the good features through lasso regression and getting the best algorithm through a technique called stacking.
Malathi 21 Oct, 2024
-
Reduce the Complexity of Your Data With Variable Clustering from Scratch Using SAS and Python!
Variable clustering is the most popular technique for dimension reduction. Let's learn about variable clustering in SAS and Python
Urvish 14 Dec, 2020
